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运用MMSE先验信噪比估计进行语音增强
引用本文:熊民权,曾以成,侯丽霞,杨红姣.运用MMSE先验信噪比估计进行语音增强[J].计算机工程与应用,2011,47(27):152-154.
作者姓名:熊民权  曾以成  侯丽霞  杨红姣
作者单位:湘潭大学光电工程系,湖南湘潭,411105
基金项目:湖南省自然科学基金(No.08JJ5031); 湖南省教育厅一般项目(No.08C865)~~
摘    要:针对DD(Decision-Directed)先验信噪比估计方法在处理语音时产生延迟以及非因果先验信噪比估计算法不具实时性的缺点,提出一种MMSE(Minimum Mean Square Error)先验信噪比估计方法。它在高斯语音模型假设的基础上,运用最小均方误差准则直接从带噪信号中估计先验信噪比。通过对增强语音信噪比、Itakura-Saito失真测度以及信号时域图和语谱图仿真,结果表明,该算法比DD算法能更好地抑制"音乐噪声"和防止语音畸变,且相对于非因果先验信噪比估计算法具有更强实时性。

关 键 词:语音增强  先验信噪比  音乐噪声  Itakura-Saito失真测度
修稿时间: 

Speech enhancement using MMSE priori SNR estimation
XIONG Minquan,ZENG Yicheng,HOU Lixia,YANG Hongjiao.Speech enhancement using MMSE priori SNR estimation[J].Computer Engineering and Applications,2011,47(27):152-154.
Authors:XIONG Minquan  ZENG Yicheng  HOU Lixia  YANG Hongjiao
Affiliation:XIONG Minquan,ZENG Yicheng,HOU Lixia,YANG Hongjiao Department of photoelectric Engineering,Xiangtan University,Xiangtan,Hunan 411105,China
Abstract:To solve the problems that Decision-Directed(DD) a priori SNR estimation gets defects of delayed and non-casual a priori SNR estimation has shortcoming of non-real time,MMSE a priori SNR estimation is proposed in this paper.Based on the Gauss voice model assumption,it directly estimates SNR of noisy speech using the Minimum Mean Square Error (MMSE)methods.Simulation with the SNR,Itakura-Saito distortion measure,signal wave and spectrogram show that the proposed method is not only better than DD in the area ...
Keywords:speech enhancement  priori Signal to Noise Ratio(SNR)  musical noise  Itakura-Saito distortion measure  
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